AMPS: Algorithms for Modern Power Systems
The Division of Mathematical Sciences (DMS) at the National Science Foundation (NSF) recently formed a partnership with the Office of Electricity (OE) at the U.S. Department of Energy (DOE) to support fundamental mathematical and statistical research that aim to develop novel methodologies and algorithms for improvement of the security, reliability, and efficiency of the modern power systems. The program, named the Algorithms for Modern Power Systems (AMPS), intends to catalyze a broad range of interdisciplinary research initiatives at the forefront of power system engineering, mathematics, and statistics.
The development of AMPS  goes back 11 years and stems from research being done at that time at the Pacific Northwest National Laboratory (PNNL), particularly the mathematics and statistics research performed in PNNL’s five-year Future Power Grid Initiative.  There were many conference calls and meetings held between folks at NSF, OE, PNNL, the Federal Energy Regulatory Commission (FERC), and academia before a DMS funded workshop on the Resiliency of the Electric Power Grid, (Lee and Taylor), in 2015. NSF funded the first set of proposals on the mathematical and statistical algorithms for Modern Power Systems in 2017, and have had annual calls for proposals most years since then.
There are three main activities in AMPS that make in distinct from most other NSF Programs: Mini-Workshop Series, AMPS PIs Workshops, and NSF-DOE Student Internships for AMPS funded projects.
Mini-Workshop Series
Virtual monthly seminar series are given by experts in the power grid community and math/statistics community to foster collaboration, transfer new ideas, and encourage new directions of research particularly for mathematicians/statisticians currently not actively researching power systems but which their expertise can lead to innovative approaches.
The “M” in AMPS  stands for Modern in reference to wind and solar power or clean sustainable Energy, and the emerging grid. The “A” in AMPS stands for Algorithms for improved speed and predictive accuracy in the simulation component of a Digital Twin,  to use a word that is currently in vogue. Calling the simulation plus the physical system of the grid a Digital Twin does not change the underlying research that has been going on for decades but simply adds a label that is currently in use.  Thus, this workshop series will be named
AMPS: Clean Sustainable Energy and Digital Twins
AMPS PIs Workshops
The primary objective of the NSF AMPS PIs workshops is to bring together principal investigators involved in the AMPS program and stakeholders from DOE and other government agencies, to report on the progress of the research projects, and to facilitate creation, transfer and application of knowledge on modern power grids. It is expected that each AMPS team make a presentation/poster on their current progress of the project and the future research directions. To foster synergism between the different projects, presentations are encouraged to be accessible to members of other AMPS teams. PIs are also encouraged to bring their graduate students and postdocs affiliated with their AMPS projects. Limited travel support is often made available for students and postdocs affiliated with AMPS projects, particularly for underrepresented groups in STEM. Participation is by invitation only.
NSF-DOE Student Internships for AMPS-Funded Projects
The unique partnership between NSF and OE present an opportunity to sponsor student internships at DOE Labs to work on AMPS-funded projects. This will provide training for students and quick transfer of the technology developed in AMPS projects to power system applications.